AIMC Topic: Computational Biology
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Interpretability-guided RNA N-methyladenosine modification site prediction with invertible neural networks.
Communications biology
Jul 8, 2025
As one of the most common and abundant post-transcriptional modifications, N-methyladenosine (mA) has been extensively studied for its essential regulatory role in gene expression and cell functions. The location of mA RNA modification sites, however...
Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy.
Scientific reports
Jul 8, 2025
Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) remain the leading causes of preventable deaths after trauma. Understanding the genetic underpinnings and molecular mechanisms of TIC is crucial for de...
Advancing the accuracy of clathrin protein prediction through multi-source protein language models.
Scientific reports
Jul 8, 2025
Clathrin is a key cytoplasmic protein that serves as the predominant structural element in the formation of coated vesicles. Specifically, clarithin enables the scission of newly formed vesicles from the plasma membrane's cytoplasmic face. Efficient ...
Identification and validation of parthanatos-related genes in end-stage renal disease.
Renal failure
Jul 6, 2025
BACKGROUND: End-Stage Renal Disease (ESRD) is a severe chronic kidney disease with a rising global incidence, often accompanied by various complications, severely impacting patients' quality of life. Parthanatos plays a crucial role in the pathogenes...
Combination of machine learning and protein‑protein interaction network established one ATM‑DPP4‑TXN ferroptotic diagnostic model with experimental validation.
Molecular medicine reports
Jul 4, 2025
Ferroptosis and lethal sepsis are interlinked, although this association remains largely unknown to clinical panels. Sepsis is characterized by dysfunction of the inflammatory microenvironment. Most septic biomarkers lack independent validation, and ...
Computational Strategies to Enhance Vitamin B Biosynthesis Potential of Microbes.
Current microbiology
Jul 4, 2025
Vitamin B is a vital nutrient for the normal functioning of many metabolic processes. It has a characteristic corrinoid ring structure with a cobalt ion. Its complex chemical structure demands 30 enzyme-catalyzed steps for synthesis. Deficiency of th...
iACP-DPNet: a dual-pooling causal dilated convolutional network for interpretable anticancer peptide identification.
Functional & integrative genomics
Jul 4, 2025
Anticancer peptides (ACPs) are acknowledged for their potential in cancer therapy, attributed to their safety, low side effects, and high target specificity. However, the discovery of ACPs is slowed by the high cost and labor-intensive nature of expe...
Identification of key genes as diagnostic biomarkers for IBD using bioinformatics and machine learning.
Journal of translational medicine
Jul 3, 2025
BACKGROUND: The pathogenesis of inflammatory bowel disease (IBD) involves complex molecular mechanisms, and achieving clinical remission remains challenging. This study aims to identify IBD-potential biomarkers, analyze their correlation with immune ...
Integrating bioinformatics and machine learning to investigate the mechanisms by which three major respiratory infectious diseases exacerbate heart failure.
Scientific reports
Jul 2, 2025
Heart failure (HF) is a severe cardiovascular disease often worsened by respiratory infections like influenza, COVID-19, and community-acquired pneumonia (CAP). This study aims to uncover the molecular commonalities among these respiratory diseases a...
Prioritizing perturbation-responsive gene patterns using interpretable deep learning.
Nature communications
Jul 2, 2025
Spatially resolved transcriptomics enables mapping of multiplexed gene expression within tissue contexts. While existing methods prioritize spatially variable genes within a single slice, few address identifying genes with differential spatial expres...
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